Paper: A Summariser based on Human Memory Limitations and Lexical Competition

ACL ID E14-1077
Title A Summariser based on Human Memory Limitations and Lexical Competition
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Kintsch and van Dijk proposed a model of human comprehension and summarisa- tion which is based on the idea of pro- cessing propositions on a sentence-by- sentence basis, detecting argument over- lap, and creating a summary on the basis of the best connected propositions. We present an implementation of that model, which gets around the problem of identi- fying concepts in text by applying coref- erence resolution, named entity detection, and semantic similarity detection, imple- mented as a two-step competition. We evaluate the resulting summariser against two commonly used extractive summaris- ers using ROUGE, with encouraging re- sults.